Map

Track Data

SID SEASON NUMBER BASIN SUBBASIN NAME ISO_TIME NATURE LAT LON WMO_WIND WMO_PRES WMO_AGENCY TRACK_TYPE DIST2LAND LANDFALL IFLAG USA_AGENCY USA_ATCF_ID USA_LAT USA_LON USA_RECORD USA_STATUS USA_WIND USA_PRES USA_SSHS USA_R34_NE USA_R34_SE USA_R34_SW USA_R34_NW USA_R50_NE USA_R50_SE USA_R50_SW USA_R50_NW USA_R64_NE USA_R64_SE USA_R64_SW USA_R64_NW USA_POCI USA_ROCI USA_RMW USA_EYE TOKYO_LAT TOKYO_LON TOKYO_GRADE TOKYO_WIND TOKYO_PRES TOKYO_R50_DIR TOKYO_R50_LONG TOKYO_R50_SHORT TOKYO_R30_DIR TOKYO_R30_LONG TOKYO_R30_SHORT TOKYO_LAND CMA_LAT CMA_LON CMA_CAT CMA_WIND CMA_PRES HKO_LAT HKO_LON HKO_CAT HKO_WIND HKO_PRES NEWDELHI_LAT NEWDELHI_LON NEWDELHI_GRADE NEWDELHI_WIND NEWDELHI_PRES NEWDELHI_CI NEWDELHI_DP NEWDELHI_POCI REUNION_LAT REUNION_LON REUNION_TYPE REUNION_WIND REUNION_PRES REUNION_TNUM REUNION_CI REUNION_RMW REUNION_R34_NE REUNION_R34_SE REUNION_R34_SW REUNION_R34_NW REUNION_R50_NE REUNION_R50_SE REUNION_R50_SW REUNION_R50_NW REUNION_R64_NE REUNION_R64_SE REUNION_R64_SW REUNION_R64_NW BOM_LAT BOM_LON BOM_TYPE BOM_WIND BOM_PRES BOM_TNUM BOM_CI BOM_RMW BOM_R34_NE BOM_R34_SE BOM_R34_SW BOM_R34_NW BOM_R50_NE BOM_R50_SE BOM_R50_SW BOM_R50_NW BOM_R64_NE BOM_R64_SE BOM_R64_SW BOM_R64_NW BOM_ROCI BOM_POCI BOM_EYE BOM_POS_METHOD BOM_PRES_METHOD NADI_LAT NADI_LON NADI_CAT NADI_WIND NADI_PRES WELLINGTON_LAT WELLINGTON_LON WELLINGTON_WIND WELLINGTON_PRES DS824_LAT DS824_LON DS824_STAGE DS824_WIND DS824_PRES TD9636_LAT TD9636_LON TD9636_STAGE TD9636_WIND TD9636_PRES TD9635_LAT TD9635_LON TD9635_WIND TD9635_PRES TD9635_ROCI NEUMANN_LAT NEUMANN_LON NEUMANN_CLASS NEUMANN_WIND NEUMANN_PRES MLC_LAT MLC_LON MLC_CLASS MLC_WIND MLC_PRES USA_GUST BOM_GUST BOM_GUST_PER REUNION_GUST REUNION_GUST_PER USA_SEAHGT USA_SEARAD_NE USA_SEARAD_SE USA_SEARAD_SW USA_SEARAD_NW STORM_SPEED STORM_DIR
2017198N10312 2017 41 NA NA DON 2017-07-17 00:00:00 DS 10.3000 -47.7000 25 1011 hurdat_atl main 780 735 O_____________ hurdat_atl AL052017 10.3000 -47.7000 LO 25 1011 -3 1013 140 55 14 273
2017198N10312 2017 41 NA NA DON 2017-07-17 03:00:00 DS 10.3303 -48.3925 main 735 698 P_____________ AL052017 10.3303 -48.3925 LO 27 1010 -3 1013 140 50 14 274
2017198N10312 2017 41 NA NA DON 2017-07-17 06:00:00 TS 10.4000 -49.1000 30 1010 hurdat_atl main 698 669 O_____________ hurdat_atl AL052017 10.4000 -49.1000 TD 30 1010 -1 1013 140 45 14 278
2017198N10312 2017 41 NA NA DON 2017-07-17 09:00:00 TS 10.5348 -49.8350 main 669 651 P_____________ AL052017 10.5348 -49.8350 TD 32 1009 -1 1013 130 37 15 282
2017198N10312 2017 41 NA NA DON 2017-07-17 12:00:00 TS 10.7000 -50.6000 35 1009 hurdat_atl main 651 634 O_____________ hurdat_atl AL052017 10.7000 -50.6000 TS 35 1009 0 20 1013 120 30 16 282
2017198N10312 2017 41 NA NA DON 2017-07-17 15:00:00 TS 10.8574 -51.3925 main 639 612 P_____________ AL052017 10.8574 -51.3925 TS 37 1008 0 20 1013 105 22 16 281
2017198N10312 2017 41 NA NA DON 2017-07-17 18:00:00 TS 11.0000 -52.2000 40 1007 hurdat_atl main 612 597 O_____________ hurdat_atl AL052017 11.0000 -52.2000 TS 40 1007 0 20 20 20 1013 90 15 40 16 279
2017198N10312 2017 41 NA NA DON 2017-07-17 21:00:00 TS 11.1148 -53.0000 main 597 590 P_____________ AL052017 11.1148 -53.0000 TS 42 1006 0 20 20 20 1013 90 15 16 277
2017198N10312 2017 41 NA NA DON 2017-07-18 00:00:00 TS 11.2000 -53.8000 45 1005 hurdat_atl main 595 593 O_____________ hurdat_atl AL052017 11.2000 -53.8000 TS 45 1005 0 20 20 20 1013 90 15 50 16 275
2017198N10312 2017 41 NA NA DON 2017-07-18 03:00:00 TS 11.2572 -54.5926 main 604 540 P_____________ AL052017 11.2572 -54.5926 TS 42 1006 0 25 20 25 1013 90 15 16 274
2017198N10312 2017 41 NA NA DON 2017-07-18 06:00:00 TS 11.3000 -55.4000 40 1008 hurdat_atl main 540 480 O_____________ hurdat_atl AL052017 11.3000 -55.4000 TS 40 1008 0 30 20 30 1013 90 15 55 16 273
2017198N10312 2017 41 NA NA DON 2017-07-18 09:00:00 TS 11.3480 -56.2399 main 480 433 P_____________ AL052017 11.3480 -56.2399 TS 37 1009 0 30 20 30 1013 90 17 17 273
2017198N10312 2017 41 NA NA DON 2017-07-18 12:00:00 TS 11.4000 -57.1000 35 1011 hurdat_atl main 433 O_____________ hurdat_atl AL052017 11.4000 -57.1000 TS 35 1011 0 30 20 30 1013 90 20 50 12 30 20 30 17 274

About IBTrACS Database

This database is a web-friendly format of International Best Track Archive for Climate Stewardship (IBTrACS), a global best track data archive curated by NOAA dating back to 1842.

Updated: 2021-10-08